Genetic algorithms and the immune system

Stephanie Forrest, Alan S. Perelson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

40 Scopus citations


Using genetic algorithm techniques we introduce a model to examine the hypothesis that antibody and T cell receptor genes evolved so as to encode the information needed to recognize schemas that characterize common pathogens. We have implemented the algorithm on the Connection Machine for 16,384 64-bit antigens and 512 64-bit antibodies.

Original languageEnglish (US)
Title of host publicationParallel Problem Solving from Nature - 1st Workshop, PPSN I, Proceedings
EditorsHans-Paul Schwefel, Reinhard Manner
PublisherSpringer Verlag
Number of pages6
ISBN (Print)9783540541486
StatePublished - 1991
Externally publishedYes
Event1st Workshop on Parallel Problem Solving from Nature, PPSN 1990 - Dortmund, Germany
Duration: Oct 1 1990Oct 3 1990

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume496 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other1st Workshop on Parallel Problem Solving from Nature, PPSN 1990

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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